HELK/docker/helk-jupyter/notebooks/sigma/win_malware_wannacry.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# WannaCry Ransomware\n",
"Detects WannaCry ransomware activity"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: WannaCry Ransomware\n",
" id: 41d40bff-377a-43e2-8e1b-2e543069e079\n",
" status: experimental\n",
" description: Detects WannaCry ransomware activity\n",
" references:\n",
" - https://www.hybrid-analysis.com/sample/ed01ebfbc9eb5bbea545af4d01bf5f1071661840480439c6e5babe8e080e41aa?environmentId=100\n",
" author: Florian Roth (rule), Tom U. @c_APT_ure (collection)\n",
" logsource:\n",
" category: process_creation\n",
" product: windows\n",
" service: null\n",
" detection:\n",
" selection1:\n",
" Image:\n",
" - '*\\tasksche.exe'\n",
" - '*\\mssecsvc.exe'\n",
" - '*\\taskdl.exe'\n",
" - '*\\@WanaDecryptor@*'\n",
" - '*\\WanaDecryptor*'\n",
" - '*\\taskhsvc.exe'\n",
" - '*\\taskse.exe'\n",
" - '*\\111.exe'\n",
" - '*\\lhdfrgui.exe'\n",
" - '*\\diskpart.exe'\n",
" - '*\\linuxnew.exe'\n",
" - '*\\wannacry.exe'\n",
" selection2:\n",
" CommandLine:\n",
" - '*icacls * /grant Everyone:F /T /C /Q*'\n",
" - '*bcdedit /set {default} recoveryenabled no*'\n",
" - '*wbadmin delete catalog -quiet*'\n",
" - '*@Please_Read_Me@.txt*'\n",
" condition: 1 of them\n",
" fields:\n",
" - CommandLine\n",
" - ParentCommandLine\n",
" falsepositives:\n",
" - Diskpart.exe usage to manage partitions on the local hard drive\n",
" level: critical\n",
"\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Querying Elasticsearch"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import Libraries"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from elasticsearch import Elasticsearch\n",
"from elasticsearch_dsl import Search\n",
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Initialize Elasticsearch client"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"es = Elasticsearch(['http://helk-elasticsearch:9200'])\n",
"searchContext = Search(using=es, index='logs-*', doc_type='doc')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Run Elasticsearch Query"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"s = searchContext.query('query_string', query='(process_path.keyword:(*\\\\tasksche.exe OR *\\\\mssecsvc.exe OR *\\\\taskdl.exe OR *\\\\@WanaDecryptor@* OR *\\\\WanaDecryptor* OR *\\\\taskhsvc.exe OR *\\\\taskse.exe OR *\\\\111.exe OR *\\\\lhdfrgui.exe OR *\\\\diskpart.exe OR *\\\\linuxnew.exe OR *\\\\wannacry.exe) OR process_command_line.keyword:(*icacls\\ *\\ \\/grant\\ Everyone\\:F\\ \\/T\\ \\/C\\ \\/Q* OR *bcdedit\\ \\/set\\ \\{default\\}\\ recoveryenabled\\ no* OR *wbadmin\\ delete\\ catalog\\ \\-quiet* OR *@Please_Read_Me@.txt*))')\n",
"response = s.execute()\n",
"if response.success():\n",
" df = pd.DataFrame((d.to_dict() for d in s.scan()))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Show Results"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df.head()"
]
}
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 4
}